Programme Assessment Committee

To monitor the activities of CAC and oversee the academic activities of the department, the Programme Assessment Committee (PAC) of the department meets twice in a semester.The functions of PAC includes:

Recommend actions to address the gaps in curriculum in align with industry and academic standards.
Develop and plan academic activities to improve the quality of the program as informed by the DAC and DQAC for the semester.
Prepare the Department calendar in line with the university and institution calendar.
Analyse the attainment of POs & periodically revise target levels for POs
Coordinate the bridge courses, add-on courses, and other co-curricular activities to enhance student competencies and ensure industry readiness.
Suggest remedial actions for improvement of attainments and analyse the effectiveness of remedial measures and provide recommendations for continuous improvement.
To monitor the feedback processes and identify corrective measures on the overall feedback received from various stakeholders about the program management.
Analyse the research activities of the department such as publications and funding

PAC Members (2024-2025)

Sl.No	Name of the Faculty	Designation
1	Dr. Deepa Mary Mathews	Head of the Department
2	Dr. Shidha M V	Convener PAC
3	Ms. Manju Joy	Member (CAC Head – AI & Data Science)
4	Dr. Sujesh P Lal	Member (CAC Head – OS, IoT & Mobile Computing)
5	Dr. Shahna K U	Member (NBA)
6	Dr. Rose Mary Mathew	Member (DQAC)

Sample Attainment

The target to be achieved for each course includes two parameters:

Expected Proﬁciency /Knowledge (EP) :-

It is the grade secured by around 50% of the total number of students in the previous university examinations.

Expected Attainment (EA) :-The percentage of students who attain the expected proficiency.

Academic Year	Year	O	A+	A	B+	B	C	P	F	No. of Students Registered
Academic Year	Year	(90 and Above)	85 – 89	80 – 84	70 – 79	60 – 69	50 – 59	45 – 49	< 45	No. of Students Registered
CAY – 3	-3
CAY – 2	-2
CAY – 1	-1	0	0	1	12	16	23	4	4	60
No. of Students Obtained the grade		0	0	1	12	16	23	4	4	60
Count		1	1	1	1	1	1	1	1	1
Average		0	0	1	12	16	23	4	4	60
Average (%)		0.0	0.0	1.7	20.0	26.7	38.3	6.7	6.7
Cumulative (%)		0.0	0.0	1.7	21.7	48.3	86.7	93.3	100.0
Final (%)		0	0	1.67	21.67	48.34	86.67	93.34	100

Expected Proficiency is selected B and Expected Attainment is calculated assuming 5% improvement each year from the base year and it is obtained as 59%

ASSESSMENT PATTERN and MARK DISTRIBUTION
CO No.	Tests			Assignments		Total	Expected Proficiency	Expected Attainment
CO No.	T1	T2	T3	A1	A2	Total	Expected Proficiency	Expected Attainment
EE367.1	10					10	6.0	59.00%
EE367.2				10		10	6.0
EE367.3	20					20	12.0
EE367.4		15	40		10	65	39.0
EE367.5	20	20				40	24.0
EE367.6		15				15	6.8

The final direct course outcome is obtained as

ATTAINMENT LEVELS		TARGET
1 (Low)		45% students scoring more than 60% marks out of the relevant maximum marks.
2 (Medium)		55% students scoring more than 60% marks out of the relevant maximum marks.
3 (High)		65% students scoring more than 60% marks out of the relevant maximum marks.
Course Outcomes	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6
Maximum CO marks	10	10	20	65	40	15
Expected Proficiency	6	6	12	39	24	9
Expected Attainment	59.00%
Roll No.	Course Outcome Marks						Total Marks
Roll No.	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	Total Marks
1	5	9	16	61	35	12	138
2	8	9	15	59	18	11	120
3	9	10	18	59	23	13	132
4	5	9	17	59	30	14	134
5	5	10	18	60	29	14	136
6	8	10	17	61	30	15	141
7	8	10	17	60	36	10	141
8	5	10	15	57	23	10	120
9	9	10	20	64	37	14	154
10	5	10	19	62	27	14	137
11	6	10	16	63	30	13	138
12	5	10	17	52	28	12	124
13	7	10	20	55	20	13	125
14	8	10	17	59	26	14	134
15	9	10	18	61	29	14	141
16	9	10	17	62	33	12	143
17	0	10	0	52	0	8	70
18	5	10	18	20	25	12	90
19	5	10	17	57	28	11	128
20	8	9	17	57	26	14	131
21	10	9	17	63	31	12	142
22	8	10	17	62	23	13	133
23	5	10	17	60	26	13	131
24	5	10	18	62	27	13	135
25	9	10	20	64	28	13	144
26	9	10	18	63	34	13	147
27	5	10	20	29	25	0	89
28	5	10	15	42	7	0	79
29	10	10	20	56	38	13	147
30	5	10	12	60	31	13	131
31	5	10	15	55	27	13	125
32	8	10	18	65	32	13	146
33	5	10	17	62	30	13	137
34	9	9	16	60	30	13	137
35	9	9	16	59	26	8	127
36	8	9	16	55	27	13	128
37	9	9	16	64	33	13	144
38	4	10	15	62	30	13	134
39	5	10	17	60	29	13	134
40	8	10	20	61	37	11	147
41	9	10	19	62	22	11	133
42	5	10	18	62	29	8	132
43	5	10	17	55	31	13	131
44	8	10	20	63	33	13	147
45	8	10	17	62	28	12	137
46	9	10	17	59	31	14	140
47	8	10	16	59	28	13	134
No. of students Scored ≥ EP (N)	27	47	46	45	39	42
Attainment (N/10)%	57.45	100.00	97.87	95.74	82.98	89.36
Attainment Level	2	3	3	3	3	3

The indirect and University attainment is obtained as below

Course Outcomes	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	University
Maximum CO marks	10	10	10	10	10	10	10
Expected Proficiency	6	6	6	6	6	6	6
Expected Attainment	59.00%
Roll No.	Course Outcome Marks						University Examination
Roll No.	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	University Examination
1	6	8	6	6	6	4	A+
2	6	6	8	8	10	8	A
3	6	6	6	6	6	6	C
4	10	10	10	10	10	10	B
5	4	6	4	6	4	6	A
6	10	10	10	10	10	10	B+
7	8	8	8	10	8	8	A+
8	8	6	8	6	8	6	B
9	6	6	6	6	6	6	OS
10	6	6	6	6	6	6	B+
11	6	6	6	6	6	6	B+
12	8	8	6	6	8	8	B+
13	6	4	4	6	6	6	B+
14	10	10	10	10	10	10	A
15	8	8	8	8	8	8	A+
16	10	10	10	10	10	10	A
17	10	10	10	10	10	10	B+
18	10	10	10	10	10	10	B
19	6	6	6	6	6	6	A
20	8	8	8	8	10	10	OS
21	10	10	8	8	10	8	B+
22	10	8	8	8	8	8	B+
23	10	10	10	10	10	10	C
24	8	8	6	6	6	10	A
25	8	8	8	8	8	8	B+
26	8	8	8	8	8	8	B+
27	10	10	10	10	10	10	B+
28	10	10	10	10	10	10	F
29	6	6	6	6	6	6	A
30	8	6	6	6	8	8	C
31	6	6	6	6	6	6	B+
32	10	10	10	10	10	10	B+
33	8	6	8	8	8	8	B
34	8	8	8	8	8	8	B
35	8	6	6	6	6	6	B+
36	10	10	10	10	10	10	C
37	8	8	8	8	8	8	A
38	10	10	10	10	10	10	B+
39	4	4	4	4	4	4	C
40	6	6	6	6	6	6	A
41	8	8	8	8	8	8	B+
42	10	10	10	10	10	10	B+
43	6	6	6	6	6	6	B+
44	4	4	4	4	4	4	B+
45	10	10	10	10	10	10	A
46	6	6	6	6	6	6	OS
47	10	8	8	6	6	6	OS
No. of students Scored ≥ EP (N)	44	44	43	45	44	44
Attainment (N/10)%	93.61702128	93.61702128	91.4893617	95.74468085	93.61702128	93.61702128
Attainment Level	3	3	3	3	3	3

The Final Co attainment is Calculated as

ASSESSMENT METHOD		WEIGHTAGE
Direct / Internal		50%
University Examination / External		40%
Indirect		10%
Course Outcome Assessments	Course Outcomes
	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6
	ATTAINMENT % IN EACH ASSESSMENT
Direct Assessment (%)	57.45	100.00	97.87	95.74	82.98	89.36
University Assessment (%)	87.23	87.23	87.23	87.23	87.23	87.23
Indirect Assessment (%)	93.61702128	93.61702128	91.4893617	95.74468085	93.61702128	93.61702128
CO Attainment (%)	73.00	94.00	93.00	92.00	86.00	89.00
Attainment Level	3	3	3	3	3	3
Overall CO Attainment (%)	87.84%
Overall CO Attainment Level	3
Expected Attainment	59.00%

MCA (Two-Year)

The Master of Computer Applications (MCA) program at FISAT is a prestigious and highly sought-after course designed to shape students into top-class computer professionals. The program is structured to provide a strong foundation in computing, software development, and emerging technologies while also emphasizing practical exposure and industry relevance.

Two year Post graduate programme consisting of four semesters.
The annual intake is 60.
The programme is approved by AICTE and affiliated to the A.P.J. Abdul Kalam Technological University, Kerala.

Key Features:

Choice-Based Credit System (CBCS)
Industry-Relevant Curriculum
Placement & Industry Connect:
TechZenith Lab – Software Development Cell
Research & Innovation Opportunities:
Holistic Development

Eligibility Criteria:

Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree OR
Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University).
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination
Must qualify entrance examination conducted by a competent authority as per the rules and regulations of KTU/AICTE/Govt

Mentors

To assist and mould the students of the department, an excellent mentorship system is being created at the individual level. A mentor (group advisor) has been appointed to a group of 30 students. A student can consult their mentor at any moment regarding any academic or non-academic concern. The mentors monitor the academic performance of students in the group and motivate them to score good grades. They also provide career assistance and inspire them to grow into socially committed individuals.

Details of Mentors

Batch Year	A Batch	B Batch
2024	Ms Senu Abi (Roll No:1-30)	Dr Santhosh Kottam (Roll No:1-30)
2024	Dr Rose Mary Mathew (Roll No:31-60)	Dr Shidha M.V (Roll No:31-60)
2023	Ms. Manju Joy (Roll No:1-30)	Dr. Shahna K U (Roll No:1-30)
2023	Dr. Rakhi Venugopal (Roll No:31-60)	Ms. Joice T (Roll No:31-60)
2022	Mr. Nithin Rajan (Roll No:1-30)	Dr. Sujesh P Lal (Roll No:1-30)
2022	Ms. Sona Mary Louis (Roll No:31-61)	Ms. Anju L (Roll No:31-60)
2021	Dr. Santhosh Kottam (Roll No:1-30)	Dr. Shidha M V(Roll No:1-30)
2021	Ms. Rose Mary Mathew(Roll No:31-59)	Ms. Senu Abi (Roll No:31-60)
2020	Ms. Joice T (Roll No:1-30)	Dr. Deepa Mary Mathews (Roll No:1-30)
2020	Ms. Manju Joy (Roll No:31-58)	Dr. Rakhi Venugopal (Roll No:31-59)
2019	Ms. Senu Abi (S4) (Roll No:1-29)	Ms. Shidha M V (S4)(Roll No: 1-29)
2019	Ms. Anju L (S3) (Roll No:1-29)	Ms. Rose Mary Mathew (S3) (Roll No: 1-29)

Design Projects

Main Project

2021 -2025 Batch

Syllabus

B. Tech. 2019 Scheme – Curriculum

B. Tech. 2019 Scheme – Syllabus

B. Tech. 2024 Scheme – Curriculum

B. Tech. 2024 Scheme – Syllabus First Year

B. Tech. 2024 Scheme – Syllabus (S3 to S8)

M. Tech. S1

M. Tech S2

Innovative Teaching Learning Methods

Flipped Classroom

Flipped classroom is a teaching method where students first study theory by themselves as a pre-assigned homework and then learn in the classroom by working on exercises.

This blended learning model allows trainers to prioritize active learning during class time, by giving learners the training materials and presentations before the actual class. The trainer can simply share the content via a Learning Management System (LMS), email, or however training is delivered.

Think Pair Share (TPS)

Think-Pair-Share (TPS) is a classroom active learning strategy in which students work on activities, first individually, then in pairs and finally as the whole class. TPS allows students to express their reasoning, reflect on their understanding and obtain prompt feedback on their learning.

Think : Students think independently about the question that has been posed, forming ideas of their own.

Pair : Students are grouped in pairs to discuss their thoughts. This step allows students to articulate their ideas and to consider those of others.

Share : Students pairs share their ideas with a larger group, such as the whole class or a group smaller than an entire class.

Seminar

Seminar has the function of bringing together small groups for recurring meetings, focusing each time on some particular subject, in which everyone present is requested to participate. Seminar classes are meant to be interactive, with students participating in a dialogue rather than just listening to a professor and taking notes. Because of this, seminar classes are great for engaging with complex ideas.

Jigsaw Method

Jigsaw is a cooperative learning method that makes students dependent on each other to achieve the team goals or to understand the concepts. It breaks classes into groups and breaks assignments into pieces that the group assembles to complete the (jigsaw) puzzle.

One-Minute Paper

The one-minute paper is a formative assessment strategy whereby students are asked to take one minute (or more) to answer two questions: what was the most important thing they learned in class today; and what still remains unclear to them.

Sl No.	Name of Faculty	Course Name	YouTube Playlist Link
1	Dr. Sumanlal M R	Fluid Machinery	https://youtu.be/kyzPIJA7N2Q
2	Dr. Sumanlal M R	Fluid Machinery	https://youtu.be/QJhbbGavdVA
3	Dr. Sumanlal M R	Fluid Machinery	https://youtu.be/1Y3W8NEma0A
4	Dr. Sumanlal M R	Fluid Machinery	https://youtu.be/gjDqDfKM7cU
5	Dr. Sumanlal M R	Thermal Engineering	https://youtu.be/vP2vpv3V3Ik
6	Dr. Sumanlal M R	Thermal Engineering	https://youtu.be/42A7ViQ8sVs
7	Arun J Kulangara	Programming in C	https://youtube.com/playlist?list=PL6wajZ6Gk9Zx_ih0_fKvwYVbwNCYjvBEq
8	Unnikrishnan S Nair	Engineering Graphics	https://www.youtube.com/playlist?list=PL1r49Y3_AVuPH4aeIqesbaTgVoQ8Ano1o
9	Unnikrishnan S Nair	Design Of Machine Elements I	https://www.youtube.com/watch?v=yOl1qSUapjI
10	Anoop Sankar	Engineering Graphics	https://youtube.com/playlist?list=PLOp3pNMWKF6dpb1G-5FjksKThQwLG7zoQ
11	Anoop Sankar	Composite Materials And Mechanics	https://youtu.be/0YwAeUOaZWc

Laboratories

The following State-of the-art laboratories, containing the latest equipment and machinery have been established to ensure that the students get complete facilities to thoroughly understand and explore the concepts of Mechanical Engineering as learnt in the class room.

>> Central Workshop comprising machine shop, carpentry shop, fitting shop, foundry shop, welding shop, smithy shop, sheet metal shop, and CNC machine

>> Thermal Engineering Laboratory

>> Internal Combustion Engines Laboratory

>> Heat and Mass Transfer Laboratory

>> Fluid Mechanics Laboratory

>> Fluid Machinery Laboratory

>> Cut models Laboratory

>> CAD/CAM Laboratory

>> Metrology and Measurements Laboratory

>> Advanced Machine Tools Laboratory

Sample Course Plan

Module	Day	Topic
1	1	Introduction, Classification of Energy Resources- Conventional and Non conventional resources
1	2	Comparison of different types of resources
1	3	World Energy Scenario
1	4	Indian Energy Scenario.
1	5	Sizing and Necessity of Energy Storage.
2	6	SOLAR THERMAL SYSTEMS: Introduction
2	7	Solar Constant, Basic Sun Earth Angles, Measurement of Solar Radiation Data
2	8	Problems
2	9	Pyranometer and Pyrheliometer
2	10	Principle of Conversion of Solar Radiation into Heat
2	11	Solar thermal collectors
2	12	Solar thermal collectors
2	13	Flat plate collectors
2	14	Solar Concentrators
2	15	Solar Concentrators
2	16	Performance evaluation
3	17	SOLAR ELECTRIC SYSTEMS: Solar Thermal Electric Power Generation ––Solar Photovoltaic system
3	18	Solar Cell fundamentals,characteristics,
3	19	Classification, construction of module, panel and array
3	20	Solar PV Systems- stand alone and grid connected
3	21	Street lighting, Domestic lighting and Solar Water pumping systems.
4	22	ENERGY FROM OCEAN: Tidal Energy, Principle of Tidal Power, Components of Tidal Power Plant (TPP),
4	23	Classification of Tidal Power plants, Advantages and Limitations of TPP.
4	24	OTEC: Principle of OTEC system, Methods of OTEC-open cycle, Closed Cycle, Hybrid Cycle
4	25	Site selection criteria, Biofouling,Advantages & Limitations of OTEC
5	26	WIND ENERGY: Introduction, Wind and its Properties, History of Wind Energy
5	27	Wind Energy Scenario-world and India,
5	28	WECS-principle,components
5	29	WECS-classification
5	30	Derivation of power and capacitor factor, Advantages and Disadvantages of WECS
5	31	Problems
6	32	BIOMASS ENERGY:Introduction, Photosynthesis process
6	33	Biomass fuels, Biomass conversion technologies, Urban waste to Energy conversion
6	34	Biomass Gasification, Biomass to Ethanol Production
6	35	Biogas production from waste biomass, factors affecting biogas generation
6	36	Types of biogas plants
6	37	Small Hydro Power-Classification
6	38	Type of Turbines and their selection
	39	University Question Paper Discussion
	40	University Question Paper Discussion

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